Hybrid journal (It can contain Open Access articles) ISSN (Print) 1740-8865 - ISSN (Online) 1740-8873 Published by Inderscience Publishers[450 journals]
Authors:Imran Qureshi, Muhammad Attique Khan, Muhammad Sharif, Tanzila Saba, Jun Ma Pages: 1 - 16 Abstract: Glaucoma is a permanent damage of optic nerves which cause of partial or complete visual loss. This work presents a glaucoma detection scheme by measuring CDR from fundus photographs. The proposed system consists of image acquisition, feature extraction and glaucoma assessment steps. Image acquisition discusses the transformation of a RGB fundus image into grey form and enhancing the contrast of fundus features. While, boundary of optic disc and cup were segmented in feature extraction step. Finally, a cup-to-disc ratio of an exploited image will compute to assess glaucoma in the image. The proposed system is tested on 398 fundus images from four publicly available datasets, obtaining an average value of sensitivity 90.6%, specificity 97% and accuracy 96.1% in glaucoma diagnosis. The achieved results show the suitability of proposed art for glaucoma detection. Keywords: cup-to-disc ratio; CDR; glaucoma; image processing; optic disc; segmentation; fundus images Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 19, No. 1 (2020) pp. 1 - 16 PubDate: 2020-02-14T23:20:50-05:00 DOI: 10.1504/IJISTA.2020.105172 Issue No:Vol. 19, No. 1 (2020)
Authors:Werneld Egno Ngongi, Jialu Du, Rui Wang Pages: 17 - 35 Abstract: This paper presents a generalised predictive control algorithm (GPCA) for ship dynamic positioning (DP) controller using controlled autoregressive integral moving average (CARIMA) model to describe the controlled object. The proposed control system is capable of making position and heading of the ship converge to the desired values by choosing the error correction coefficient, parameter adaptation and feedback correction techniques. Firstly, the basic principle of the generalised predictive control algorithm is introduced. Secondly, the generalised predictive control algorithm is used to design the ship dynamic positioning controller. Finally, the simulation of the designed controller is given. Simulation results prove the effectiveness and robustness of the controller. Keywords: dynamic positioning; generalised predictive controller; feedback correction; rolling optimisation; performance index; surface ships Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 19, No. 1 (2020) pp. 17 - 35 PubDate: 2020-02-14T23:20:50-05:00 DOI: 10.1504/IJISTA.2020.105176 Issue No:Vol. 19, No. 1 (2020)
Authors:Monica Sood, Vinod Kumar Panchal Pages: 36 - 77 Abstract: Path planning is a propitious research domain with extensive application areas. It is the procedure to construct a collision-free path from specified source to destination point. Earlier, classical techniques were widely implemented to solve path planning problems. Classical techniques are very easy to implement but they are time-consuming and are not effective in case of uncertainties. But meta-heuristic techniques have the ability even to perform in an approximate and uncertain environment. This makes the use of meta-heuristic techniques in a more focused manner for the optimal path planning research. This paper presents the Overview, recent trends and advancement from year 2001 to 2017 in the field of optimal path planning using meta-heuristic techniques. During the study, different meta-heuristic algorithms are analysed and classified into three categories: swarm-based meta-heuristic techniques, other than swarm-based techniques and combinational meta-heuristic techniques. In addition, basic understanding and applicability of specific algorithms for path planning are also discussed along with its strengths and downsides. Keywords: path planning; meta-heuristic techniques; optimisation; swarm intelligence; artificial intelligence; machine learning; computational intelligence Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 19, No. 1 (2020) pp. 36 - 77 PubDate: 2020-02-14T23:20:50-05:00 DOI: 10.1504/IJISTA.2020.105177 Issue No:Vol. 19, No. 1 (2020)
Authors:Asmita Yadav, Sandeep Kumar Singh Pages: 78 - 101 Abstract: Analytical studies on automatic bug triaging approach have the main objective to recommend appropriate developer for bug report with reduced bug tossing length, time and effort in bug resolution. In bug triaging process, if the first recommended developer cannot fix a bug, it is tossed to another developer and the tossing process is continued till the bug gets assigned and resolved. Existing approaches to the best of our knowledge have not considered developer's contributions and performance assessment metrics for bug triaging process. In this paper, we proposed a novel and improved two phase bug triager that involves a developer profile creation and assignment phases. In this, developer profile is built by using individual contributions (IC) and performance assessment (PA) metrics. Contribution and performance of a developer in pre-fixed bug reports are analysed to calculate a developer's weighted score. This score indicates the level of expertise to fix and resolve a newly reported bug. This approach is tested on two open source projects - Eclipse and Mozilla. Empirical results show that proposed approach has achieved a significantly higher F-score up to 90% for both projects and has effectively reduced bug tossing length up to 11.8% as compared to existing approaches. Keywords: bug repository; bug triaging; developer' expertise; bug assignment; bug reports; bug tossing; developer contribution assessment; developer load; software repository; developer performance; bug time-stamp Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 19, No. 1 (2020) pp. 78 - 101 PubDate: 2020-02-14T23:20:50-05:00 DOI: 10.1504/IJISTA.2020.105178 Issue No:Vol. 19, No. 1 (2020)
Hybrid journal (It can contain Open Access articles)
[450 journals]
